Azure AI Implementation & Engineering

Build

Implement

Integrate

Build AI applications, assistants, agents, models, and intelligent features on Azure.

Implement Azure AI capabilities into existing products, applications, and business workflows.

Connect Azure AI with APIs, databases, enterprise applications, data platforms, and business systems.

Generative AI

Machine Learning

AI Services

Build LLM applications, RAG systems, assistants, agents, and generative AI workflows.

Develop, train, evaluate, deploy, and operate machine learning models.

Implement language, vision, speech, document, search, and other AI capabilities.

Deploy

Optimize

Modernize

Deploy AI applications and models into Azure production environments.

Improve model quality, latency, reliability, scalability, and operating cost.

Modernize existing AI and ML applications using Azure AI and cloud-native capabilities.

Build

Implement

Automate

Build AI applications, assistants, agents, predictive systems, and intelligent features.

Add Azure AI capabilities to existing applications, products, and business processes.

Automate knowledge, document, customer-support, and operational workflows with AI.

Understand

Generate

Predict

Analyze text, documents, images, speech, and other unstructured information.

Generate text, summaries, responses, code, and other AI outputs.

Build predictive models for forecasting, classification, scoring, and decision support.

Retrieve

Reason

Act

Build AI applications that retrieve information from enterprise knowledge.

Combine models, context, retrieval, and application logic to support complex tasks.

Connect AI applications and agents with approved tools and APIs to perform actions.

Generative AI Applications

RAG Applications

AI Assistants & Agents

Build LLM-powered applications, content generation, summarization, analysis, and intelligent workflows.

Build enterprise knowledge systems grounded in documents and organizational data.

Build assistants and agents that retrieve information, reason, use tools, and support workflows.

Computer Vision

Speech AI

Document Intelligence

Build image analysis, OCR, object detection, classification, and visual understanding systems.

Build speech recognition, transcription, voice applications, and conversational systems.

Extract, classify, understand, and process information from business documents.

Natural Language Processing

Predictive AI

AI Automation

Build text classification, extraction, summarization, search, and language understanding.

Build forecasting, classification, anomaly detection, and prediction systems.

Connect AI models, agents, APIs, and business rules to automate workflows.

Enterprise

Companies

Software & Product Companies

Implement AI across enterprise applications, knowledge, customer experiences, operations, and business processes.

Add AI capabilities to products, applications, and workflows.

Integrate Azure AI into SaaS products, platforms, and customer-facing applications.

Startups

Researchers

Technology Vendors

Build AI-native products and intelligent features using Azure AI capabilities.

Implement AI experiments, models, research methods, and evaluation workflows on Azure.

Integrate Azure AI services into technology products and platforms.

Agencies & Consultancies

Implementation & Delivery Partners

Universities & Institutions

Add Azure AI engineering capacity to client projects.

Extend delivery teams with AI, ML, cloud, and application engineering.

Build AI applications, research systems, educational technology, and institutional solutions.

Azure AI Engineer

Azure ML Engineer

Generative AI Engineer

Build and integrate Azure AI services into applications and enterprise systems.

Develop, train, evaluate, deploy, and optimize ML models on Azure.

Build Azure OpenAI applications, RAG systems, AI assistants, and agents.

Computer Vision Engineer

NLP Engineer

AI Application Developer

Build image, video, OCR, and visual intelligence applications.

Build language-processing, extraction, search, and semantic applications.

Integrate Azure AI capabilities into web applications, SaaS, APIs, and business workflows.

AI Agent Developer

Cloud AI Engineer

Azure AI Engineering Team

Build agents that retrieve information, use tools, and execute defined workflows.

Combine AI, Azure infrastructure, APIs, security, data, and application engineering.

Combine AI, ML, cloud, data, backend, and application engineering.

Azure AI Platform

AI & Models

Application Layer

Azure AI Services · Azure AI Foundry · Azure Machine Learning · Azure AI Search

Azure OpenAI · Foundation Models · ML Models · Embeddings · Transformers

Web · Mobile · SaaS · APIs · AI Agents

AI Capabilities

Data & Knowledge

Azure Infrastructure

Vision · Speech · Language · Document Intelligence

Azure Blob Storage · Databases · Vector Search · Enterprise Data

Azure Functions · App Service · AKS · API Management · Identity

01 — Understand

02 — Prepare

03 — Build

Understand the AI problem, users, data, models, security, compliance, and expected outcomes.

Prepare datasets, documents, knowledge, prompts, features, and evaluation data.

Build models, AI applications, agents, RAG pipelines, APIs, and supporting infrastructure.

04 — Evaluate

05 — Deploy

06 — Improve

Evaluate accuracy, relevance, grounding, latency, safety, reliability, and business performance.

Deploy AI applications and models into Azure production environments.

Monitor, optimize, retrain, improve, scale, and continuously evolve the AI system.

Azure AI Implementation

Dedicated Azure AI Engineer

AI Application Development

Implement Azure AI around a defined AI, application, or business requirement.

Add ongoing Azure AI engineering capacity to your team.

Build complete AI applications using Azure AI services and models.

Azure OpenAI Implementation

Azure ML Implementation

Ongoing Azure AI Engineering

Build LLM applications, RAG, assistants, and generative AI workflows.

Build ML pipelines, experiments, training, evaluation, and deployment workflows.

Continue AI application development, model improvement, integration, and optimization.

AI + Azure Engineering

Implementation Focus

Production AI

Combine AI, ML, software, data, API, cloud, and Azure engineering.

Build Azure AI around the actual business or technology problem rather than a standalone AI demo.

Focus on integration, evaluation, security, reliability, scalability, latency, and cost.

Broad AI Capability

Flexible Capacity

Project or Ongoing

Work across GenAI, ML, vision, speech, language, document intelligence, search, and agents.

Access an Azure AI engineer, ML engineer, GenAI engineer, specialist, or complete team.

Engage for implementation, model development, integration, deployment, optimization, or ongoing engineering.

Azure OpenAI Development

Azure AI Search & RAG

Azure AI Agents

Build LLM-powered applications, assistants, and generative AI workflows.

Build enterprise search and document-grounded AI applications.

Build AI agents that retrieve information, use tools, and execute defined workflows.

Azure Machine Learning

Azure Document Intelligence

Azure Computer Vision

Build and deploy machine learning models and workflows.

Extract and understand information from business documents.

Build image analysis, OCR, classification, and visual intelligence applications.

Azure Speech AI

Azure NLP

Azure AI Automation

Build speech recognition, transcription, and voice applications.

Build language understanding, extraction, classification, and semantic applications.

Automate business workflows using Azure AI models and services.